ETW Viewer

ETW Viewer analyzes Windows ETW traces, filtering and decoding events for developers and SREs to diagnose performance and reliability issues.

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About This Tool

ETW Viewer is a developer-focused tool for Windows ETW traces. It ingests ETW log files or live streams, decodes provider schemas, and applies filters to isolate events of interest. The tool supports offline and live modes, exporting structured results for sharing with teams. It enables performance debugging by exposing event IDs, levels, timestamps, and decoded payloads, empowering engineers to reconstruct execution paths and identify bottlenecks. Conceptually, it treats traces as sequences of events with rich metadata and payloads, and provides the means to filter, group, and correlate those events across processes and threads. The core value lies in reducing time-to-diagnose by presenting a consistent, parseable view of complex traces, while maintaining fidelity to the original data. Use cases include performance profiling, latency analysis, and reliability investigations. Unique value comes from schema-aware decoding, cross-event correlation, and export options that integrate with existing analytics pipelines. Core features include: ETW ingestion, provider-aware decoding, multi-criteria filtering, grouping by process/thread/provider, offline and live processing, payload decoding, and export to JSON/CSV. Typical workflows involve loading a trace, applying time windows and provider filters, inspecting event payloads, and exporting results for further analysis or sharing with collaborators.

How to Use

  1. Provide inputs: specify log_source, time_range, providers, and filters.
  2. Choose ingestion mode: offline file or live stream.
  3. Run analysis: apply filters and decode payloads.
  4. Review outputs: examine events, timestamps, and decoded data.
  5. Export results: save as JSON or CSV for downstream tools.
How to use etw viewer

Frequently Asked Questions

Find Quick Answers

What data sources does ETW Viewer support?
ETW Viewer supports Windows ETW trace log files (.etl) and live ETW streams on Windows. It decodes provider schemas when available and preserves event sequencing for accurate analysis.
Can I export results for sharing?
Yes, results can be exported as JSON or CSV. Exports include event metadata, decoded payloads where available, and summarized statistics suitable for reporting.
How does it handle large traces?
Large traces are processed in chunks or via streaming mode with configurable max_events and sampling. This avoids excessive memory use while preserving event order and context.
Are times represented in local or UTC?
All timestamps are represented in UTC internally. Exported data can be formatted in UTC or converted to local time as needed in downstream workflows.

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